All Jlab Decks

Here’s a list of all anki decks I created. Most of my time is currently spent on the intermediate decks. The beginner’s course also gets updates. Moreover, there are two other decks in the long term pipeline, which are not listed yet: One for learning kanji and another one for anime-specific language and pitfalls.

Starter deck with 2100 cards, available on Ankiweb. This teaches most grammar and around 1000 words. At 10 cards / day, it keeps you busy for 7 months.

This is a supplementary deck that teaches ~500 words from the beginner’s course in isolation, it is available on patreon. If the information density of the beginner’s course is too high, you can use it to learn words in advance. Afterwards, the course should be a bit easier. The audio was recorded by a Japanese voice actress.

Teaches numbers and how to count, you can download it from Ankiweb. This is also linked in the beginner’s course and builds on the content of this course.

Follow-up of the beginner’s course, you can get the download link on patreon. This is fully build around video recommendations and helps you to quickly understand videos on YouTube.  It has 1000 cards and prepares you to watch 150 videos on YouTube and one episode of anime.

~900 new cards teach words required to understand ~110 YouTube videos. Video recommendation highlights:

Hitoki from Onomappu learns Spanish for a month then tries to date girls, Friendship, love hotels, kitanai kotoba, kids embarrassed by the hair dresser, giving tips (gratuity) in Japan, moving a lot, uchi vs. ie and more.

Get the download link on patreon.

Work in progress, ~320 new cards prepare you to watch ~40 videos on YouTube. Video recommendation highlights:

First love (natsukashii desu ne 🙂 ), koto ha nai explained (nihongo no mori), Let’s just be friends (voiced manga clip), ni taishite explained, ni vs de to indicate a place and a few other interesting grammar topics.

Get the download link on patreon.

For free, community-created subs2srs decks, go here. You can use these decks for sentence mining on your own, i.e. you can create your own n+1 cards. A guide for this is here.